Much work has been done to analyze the information capacity of neurons' firings using information-theoretic metrics. ([1]}, [2]}, [3]}). Here, we use a metric, network entropy, that has been used in networks analyzing cancer genome alterations ([4]}), that analyzes the local entropy of the flux around each node. To calculate the entropy for one neuron, we calculate an averaged entropy over all the outgoing connections, one entropy for inhibitory and one for excitatory:
\(E_{i} = -1/log(K)\sum _{j \in N(i)}p_{i,j}log(p_{i,j})\) 
